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of 855
pro vyhledávání: '"Geçer A"'
Autor:
Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Gecer, Baris, Deng, Jiankang, Zafeiriou, Stefanos
In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering optimization pipeline, that can be used to acquire high-fidelity renderable human avatars from single or multiple images. The model consists of a multi-modal
Externí odkaz:
http://arxiv.org/abs/2305.09641
Autor:
Derya Dursun, Rumeysa Bilici Geçer
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background To evaluate the accuracy, reliability, quality, and readability of responses generated by ChatGPT-3.5, ChatGPT-4, Gemini, and Copilot in relation to orthodontic clear aligners. Methods Frequently asked questions by patients/layper
Externí odkaz:
https://doaj.org/article/1503e7a1dfbd46bea66e94c40ad14e5c
Publikováno v:
Discover Psychology, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract This study investigated the mediating role of social connectedness in the relationship between excessive smartphone use and psychological adjustment problems. 484 young adults (M = 27.04 ± 4.36 years and 72.1% females) participated in this
Externí odkaz:
https://doaj.org/article/15a042bc347c44058a51d5deb4349559
Despite the recent success of image generation and style transfer with Generative Adversarial Networks (GANs), hair synthesis and style transfer remain challenging due to the shape and style variability of human hair in in-the-wild conditions. The cu
Externí odkaz:
http://arxiv.org/abs/2210.12524
Facial 3D Morphable Models are a main computer vision subject with countless applications and have been highly optimized in the last two decades. The tremendous improvements of deep generative networks have created various possibilities for improving
Externí odkaz:
http://arxiv.org/abs/2209.07366
Autor:
Erkan Pota, Çisil a, ⁎, Geçer Şerifoğlu, Özge Ekin b, Çetinkaya Yaprak, Aslı b, İlhan, Hatice Deniz b, Boz, Adil c
Publikováno v:
In Photodiagnosis and Photodynamic Therapy February 2025 51
Autor:
Ren, Xingyu, Lattas, Alexandros, Gecer, Baris, Deng, Jiankang, Ma, Chao, Yang, Xiaokang, Zafeiriou, Stefanos
Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries through facial prior while learning details as additional displacement ma
Externí odkaz:
http://arxiv.org/abs/2203.09692
Autor:
Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Gecer, Baris, Ghosh, Abhijeet, Zafeiriou, Stefanos
Over the last years, many face analysis tasks have accomplished astounding performance, with applications including face generation and 3D face reconstruction from a single "in-the-wild" image. Nevertheless, to the best of our knowledge, there is no
Externí odkaz:
http://arxiv.org/abs/2112.05957
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)
A lot of work has been done towards reconstructing the 3D facial structure from single images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In the recent works, the texture features either correspond to components of a l
Externí odkaz:
http://arxiv.org/abs/2105.07474
Autor:
Jourabloo, Amin, Gecer, Baris, De la Torre, Fernando, Saragih, Jason, Wei, Shih-En, Wang, Te-Li, Lombardi, Stephen, Belko, Danielle, Trimble, Autumn, Badino, Hernan
Social presence, the feeling of being there with a real person, will fuel the next generation of communication systems driven by digital humans in virtual reality (VR). The best 3D video-realistic VR avatars that minimize the uncanny effect rely on p
Externí odkaz:
http://arxiv.org/abs/2104.04794